Ecosystem-platform mechanisms for generating innovative synergies: theory, modeling, and empirical approximation

A.Ch. Kokov, K.V. Dyachkov

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Abstract. This article examines ecosystem-platform mechanisms for generating innovative synergies within a digital economic transformation. The relevance of this work stems from the growing importance of digital platforms as key institutions for coordinated innovative activities and demand response. The article explores the theoretical aspects for the interaction between platform economies and innovation ecosystems and develops methodological approaches for quantifying synergistic effects. The empirical part of the study is based on aggregated data from Rosstat and the Higher School of Economics Institute (HSE) for Statistical Studies and Economics of Knowledge (ISSEK). It includes the calculation of an integrated innovation activity index, the degree of complementarity, and an econometric verification of the impact for digital maturity and platform demand. The study’s results demonstrate a positive and lasting synergistic effect, leading to a significant boost in innovation activity when integrated into platform ecosystems.
Aim. The article is to develop and test a methodological approach to assessing innovation synergy derived from the interaction of ecosystems and demand patterns on the platform.
The scientific novelty lies in the formalization of the platform synergy mechanism through the integrated innovation activity index and the platform complementarity coefficient, as well as the identification of a statistically significant relationship between innovation development and the level of digital maturity and the degree of platform integration.
The methodological basis of the study is a system – structural and evolutionary-institutional approach, as well as index analysis, economic – mathematical modeling, and econometric assessment methods, based on official Rosstat statistics and analytical materials from the HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK).
Conclusion. The platform economy provides a multiplier boost to innovation through data effects, algorithmic coordination, and network interaction, but is accompanied by institutional risks that require consideration within government policies related to innovation and competition.

Keywords: platform economy, platform demand, innovation activity, digital ecosystems, multi-sided markets, algorithmic governance, network effects, innovation models, digital transformation, business entities, data economy

For citation. Kokov A.Ch., Dyachkov K.V. Ecosystem-platform mechanisms for generating innovative synergies: theory, modeling, and empirical approximation. News of the Kabardino-Balkarian Scientific Center of RAS. Vol. 28. No. 2. Pp. 133–146. DOI: 10.35330/1991-6639-2026-28-2-133-146

©   Garunov N.A., Maksimov D.A., 2026

References

1. Parker G., Van Alstyne M., Choudary S. Platform revolution: how networked markets are transforming the economy. New York: W.W. Norton & Company, 2016. 352 p.
2. Varian H.R. Artificial intelligence, economics, and industrial organization. NBER Working Paper. 2019. No. 24839.
3. Rochet J.-C., Tirole J. Platform competition in two – sided markets. Journal of the European Economic Association. 2003. Vol. 1. No. 4. Pp. 990–1029. DOI: 10.1162/154247603322493212
4. Katz M.L., Shapiro C. Network externalities, competition, and compatibility. American Economic Review. 1985. Vol. 75. No. 3. Pp. 424–440.
5. Shapiro C., Varian H. Information rules: a strategic guide to the network economy. Boston: Harvard Business School Press, 1999. 352 p.
6. Adner R. Ecosystem as structure: an actionable construct for strategy. Journal of Management. Vol. 43. No. 1. Pp. 39–58. DOI: 10.1177/0149206316678451
7. Gawer A. Digital platforms and ecosystems: remarks on the dominant organizational forms of the digital age. Innovation. 2021. Vol. 23. No. 1. Pp. 110–124. DOI: 10.1080/14479338.2020.1857362
8. Brynjolfsson E., McAfee A. The second machine age: work, progress, and prosperity in a time of brilliant technologies. New York: W.W. Norton & Company, 2014. 306 p.
9. Evans D.S., Schmalensee R. Matchmakers: the new economics of multisided platforms. Boston: Harvard Business Review Press, 2016. 272 p.
10. Alekhina E.I. Digitalization of the institutional environment and the development of the sharing economy. Economy and Entrepreneurship. 2021. No. 6. Pp. 112–118. (In Russian)
11. Dyachkov K.V. Methodological approaches to assessing innovation ecosystems in the context of platform economy development. News of the Kabardino-Balkarian Scientific Center of RAS. Vol. 28. No. 1. Pp. 188–200. DOI: 10.35330/1991-6639-2026-28-1-188-200. (In Russian)
12. Dyachkov K.V. Platform ecosystems and innovation diffusion: structural mechanisms of regional market transformation. Innovative Economy: Information, Analytics, Forecasts. 2025. No. S3. Pp. 87–95. DOI: 10.47576/2949-1894.2025.11.11.012. (In Russian)
13. Geliskhanov I.Z., Yudina T.N., Babkin A.V. Digital platforms in the economy: essence, models, development trends. Economy and Management. 2018. No. 6(11). Pp. 22–36. DOI: 10.18721/JE.11602. (In Russian)
14. Voronov V.S., Viktorov E.I. Models of platform ecosystems of state support for innovative entrepreneurship. Online scientific journal of the Federal State Budgetary Educational Institution of Higher Education “Russian State Academy of Intellectual Property” – IP: Theory and Practice. No. 4(12). Pp. 236–254. https://iptp.rgiis.ru/index.php/IPTP/article/view/271. (In Russian)
15. Anisimov A.Yu., Zhdantsev K.N. et al. Transformation of the competitive environment of platform business models in the context of digital trade. Economics, Entrepreneurship and Law. 2025. Vol. 15. No. 7. Pp. 4937–4952. DOI: 10.18334/epp.15.7.123269. EDN: PJWGVO. (In Russian)

Information about the authors

Artur Ch. Kokov, Doctor of Economics, Professor, Leading Researcher, Department of Economics of Intelligent Systems and Environments, Institute of Computer Science and Problems of Regional Management – branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
37-a, I. Armand street, Nalchik, 360000, Russia;
arturkokov@mail.ru, ORCID: https://orcid.org/0000-0002-2732-4529
Konstantin V. Dyachkov, Postgraduate Student, Scientific and Educational Center, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
2, Balkarov street, Nalchik, 360010, Russia;
konstantinco@yandex.ru, ORCID: https://orcid.org/0009-0006-4654-7791

Funding

The study was performed without external funding.